Hand gesture recognition with RGB camera
Published:
Developed during the internship at Indian Statistical Institute, Kolkata.
Posts by Collection
portfolio
DoNothrow
Published:
A webservice for smart city
Lectect: E-commerce website
Published:
Online book store developed during web development class of POLIMI.
Ranky: Cross-platform mobile application
Published:
Official mobile app for International Olympiad in Informatics
Rob the dancing robot
Published:
The robot is developed during the Robotics and design course at Politecnico Di Milano.
Multiplayer computer game: Dumb and Drunk
Published:
Multiplayer computer game developed using Unity. The game was developed for game design class of POLIMI.
Data Science and Machine Learning projects
Published:
Projects developed during the unicredit internship.
Master thesis
Published:
Human activity and emotion recognition fromRGB videos using deep learning
Gesture recognition for wearable devices
Published:
Gesture recognition using machine learning for wearable motion controller
Biomechanics Capture
Published:
Deep learning based biomechanics capture 
🤖 Human Generation and Pose Estimation
Published:
An AI-powered toolkit combining Stable Diffusion XL inpainting with MediaPipe pose estimation
🎨 Free SVG Cropper Tool
Published:
A powerful, free web-based tool for cropping and extracting specific icons or areas from SVG files
publications
RGB-D Neural Radiance Fields: Local Sampling for Faster Training
Published in EuroGraphics 2022, 2022
Recommended citation: Arnab Dey, Andrew I. Comport. RGB-D Neural Radiance Fields: Local Sampling for Faster Training https://diglib.eg.org/handle/10.2312/egp20221001
Mip-NeRF RGB-D: Depth-Assisted Fast Neural Radiance Fields
Published in WSCG 2022, 2022
Computer vision, Neural Radiance fields, Depth estimation
Recommended citation: Dey, A. and Ahmine, Y. and Comport, A.I., Mip-NeRF RGB-D: Depth-Assisted Fast Neural Radiance Fields, Journal of WSCG, Volume 30 pages 34-43, DOI:10.24132/JWSCG.2022.5. https://arxiv.org/pdf/2205.09351.pdf
PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping
Published in arXiv, 2022
Recommended citation: PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping. Y Ahmine, A Dey, AI Comport - arXiv preprint arXiv:2209.11677, 2022 https://arxiv.org/pdf/2209.11677.pdf
GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields
Published in CVPR 2024, 2024
Neural Radiance Fields, Human modeling, Computer Vision
Recommended citation: Dey, Arnab, et al. "GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Dey_GHNeRF_Learning_Generalizable_Human_Features_with_Efficient_Neural_Radiance_Fields_CVPR_2024_paper.pdf
HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields
Published in IEEE CAI 2024, 2024
Neural Radiance Fields, Biomechanics, Human modeling
Recommended citation: Dey, Arnab, et al., "HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields," 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024. #
DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
Published in CVPR 2024, 2024
Dataset, Neural Fields, Immersive visualization
Recommended citation: Lu, Cheng-You, et al. "DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Lu_DiVa-360_The_Dynamic_Visual_Dataset_for_Immersive_Neural_Fields_CVPR_2024_paper.pdf
HFGaussian: Human gaussian with biomechanics features
Published in arXiv preprint, 2024
Human digitization, 3D Gaussian Splatting, Biomechanics
Recommended citation: Arnab Dey, Cheng-You Lu, Andrew I. Comport, Srinath Sridhar, and Jean Martinet. "HFGaussian: Human gaussian with biomechanics features". arXiv preprint arXiv:2411.03086 (2024). https://doi.org/10.48550/arXiv.2411.03086
talks
teaching
3D Machine Vision
Master course, University Cote d'Azur, 2021